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Showing result 1 - 5 of 7 essays matching the above criteria.

1. 1. Free-text Informed Duplicate Detection of COVID-19 Vaccine Adverse Event Reports

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Erik Turesson; [2022]
   Keywords : Duplicate detection; Deduplication; Record linkage; Adverse Event Reports; COVID-19 Vaccines; Uppsala Monitoring Centre; VigiBase; Machine Learning; Gradient Boosted Decision Trees; BERT; Natural Language Processing; Pharmacovigilance; Individual Case Safety Reports;

   Abstract : To increase medicine safety, researchers use adverse event reports to assess causal relationships between drugs and suspected adverse reactions. VigiBase, the world's largest database of such reports, collects data from numerous sources, introducing the risk of several records referring to the same case. READ MORE

3. 2. Creation of a Next-Generation Standardized Drug Groupingfor QT Prolonging Reactions using Machine Learning Techniques

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Jacob Tiensuu; Elsa Rådahl; [2021]
   Keywords : Pharmacovigilance; Adverse Drug Reactions; MedDRA; VigiBase; WHODrug Global; QT prolongation; Torsades de Pointes; Individual Case Safety Reports; Text Recognition; Standardised Drug Grouping; Multinomial Logistic Regression; BERT;

   Abstract : This project aims to support pharmacovigilance, the science and activities relating to drug-safety and prevention of adverse drug reactions (ADRs). We focus on a specific ADR called QT prolongation, a serious reaction affecting the heartbeat. Our main goal is to group medicinal ingredients that might cause QT prolongation. READ MORE

4. 3. Extracting Adverse Drug Reactions from Product Labels using Deep Learning and Natural Language Processing

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Shachi Bista; [2020]
   Keywords : ;

   Abstract : Pharamacovigilance relates to activities involving drug safety monitoring in the post-marketing phase of the drug development life-cycle. Despite rigorous trials and experiments that drugs undergo before they are available in the market, they can still cause previously unobserved side-effects (also known as adverse events) due to drug–drug interaction, genetic, physiological or demographic reasons. READ MORE

5. 4. Automatic de-identification of case narratives from spontaneous reports in VigiBase

   University essay from Uppsala universitet/Avdelningen för datorteknik

   Author : Jakob Sahlström; [2015]
   Keywords : de-identification; svm; crf; regex; VigiBase; i2b2;

   Abstract : The use of patient data is essential in research but it is on the other hand confidential and can only be used after acquiring approval from an Ethical Board and informed consent from the individual patient. A large amount of patient data is therefore difficult to obtain if sensitive information, such as names, id numbers and contact details, are not removed from the data, by so called de-identification. READ MORE

6. 5. Deviating time-to-onset in predictive models : detecting new adverse effects from medicines

   University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

   Author : Caroline Wärn; [2015]
   Keywords : data mining; Kolmogorov-Smirnov test; predictive model; signal detection; time-to-onset;

   Abstract : Identifying previously unknown adverse drug reactions becomes more important as the number of drugs and the extent of their use increases. The aim of this Master’s thesis project was to evaluate the performance of a novel approach for highlighting potential adverse drug reactions, also known as signal detection. READ MORE